Mac16,13
Geekbench AI Score
4815
Single Precision Score
36337
Half Precision Score
51901
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | April 11 2025 06:12 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| Model | Mac16,13 |
| Model ID | Mac16,13 |
| Motherboard | Mac16,13 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2091
388.8 IPS |
|
|
Image Classification (HP)
|
100% |
16474
3.06 KIPS |
|
|
Image Classification (Q)
|
97% |
26078
4.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2131
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21936
355.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
30163
489.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10016
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
122218
142.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
231662
271.5 IPS |
|
|
Object Detection (SP)
|
100% |
2453
194.6 IPS |
|
|
Object Detection (HP)
|
100% |
18293
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25855
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4209
50.0 IPS |
|
|
Face Detection (HP)
|
100% |
43430
516.0 IPS |
|
|
Face Detection (Q)
|
100% |
63875
759.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8644
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
98569
759.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
167167
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
21407
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
233181
299.8 IPS |
|
|
Style Transfer (Q)
|
96% |
298355
385.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6116
225.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49789
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83970
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
2917
3.89 KIPS |
|
|
Text Classification (HP)
|
100% |
6061
8.09 KIPS |
|
|
Text Classification (Q)
|
93% |
6197
8.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
4408
75.9 IPS |
|
|
Machine Translation (HP)
|
100% |
16493
284.1 IPS |
|
|
Machine Translation (Q)
|
98% |
18162
313.9 IPS |
